anaksor-ocr
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Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
Classifies the stage of Alzheimer's disease with a saved CNN model inside a Gradio demo. For people exploring machine learning on health data, not for medical decisions.
Axon Alzheimer Detection is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download BoTahex/axon-alzheimer-detection --repo-type space --local-dir axon-alzheimer-detection cd axon-alzheimer-detection
This Space is a Gradio demo that classifies the stage of Alzheimer's disease. It ships with a saved CNN model file, alzheimer_cnn_model.h5, and an app file that serves it. The README is only a title, so the repository does not describe the training data, the input or any accuracy.
It suits students and developers who want a small example of a classifier packaged as a Gradio app, and researchers who want to look at how such a demo is put together.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Software | Developers | Read app.py to see how a saved model is loaded in Gradio | Copy the Space as a base for another classifier demo |
| Research | Machine learning researchers | Open the hosted demo and look at what it predicts | Compare it with their own classifier |
| Education | Students | Study a small end-to-end model demo | Follow the file list from model to interface |
You can skip it if you need a tool for real medical use, because the repository makes no clinical claims and gives no accuracy figures.
| Use case | Who | What they get back |
|---|---|---|
| Try the classifier | Anyone curious | A stage prediction from the demo in the browser |
| Study the packaging | Developers | An app file, a model file and a package list |
| Run a private copy | Developers | A copy that starts with python app.py |
The hosted page needs nothing from you. A local copy needs these two things first.
pip install -U huggingface_hub hf download BoTahex/axon-alzheimer-detection --repo-type space --local-dir axon-alzheimer-detection cd axon-alzheimer-detection pip install gradio==6.19.0 pip install -r requirements.txt python app.py
Online, open the Space page and use the demo there. On your own computer, run the last command above inside the downloaded folder and use the demo it starts. The README does not say what input the demo expects, so check the page itself.
| Tool | What it does |
|---|---|
| app.py | Starts the Gradio demo |
| alzheimer_cnn_model.h5 | The saved CNN model the demo uses |
| requirements.txt | Lists the Python packages the app needs |
You open the Space page in your browser and try the demo. What comes back is the demo's own prediction of a disease stage, shown in the page. Running python app.py in your copy starts the same demo from your machine.
If you are new, open the hosted page and look at what it asks for. Treat any result as an example from a demo, not as health advice.
If you know the field, the Space is one app.py with a Keras style h5 model file for a CNN, on Gradio 6.19.0 and Python 3.13. The repository does not say how the model was trained, what data it saw or how it was checked.
No accuracy, data source or validation is documented, so treat the output with caution.
Classifies the stage of Alzheimer's disease with a saved CNN model inside a Gradio demo. For people exploring machine learning on health data, not for medical decisions.
Made by BoTahex on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: This Space is a Gradio demo that classifies the stage of Alzheimer's disease. It ships with a saved CNN model file, alzheimer_cnn_model.h5, and an app file that serves it. The README is only a title, so the repository does not describe the training data, the input or any accuracy.
Who it suits: It suits students and developers who want a small example of a classifier packaged as a Gradio app, and researchers who want to look at how such a demo is put together.
Industry | Who uses it | How they use it | Example
Software | Developers | Read app.py to see how a saved model is loaded in Gradio | Copy the Space as a base for another classifier demo
Research | Machine learning researchers | Open the hosted demo and look at what it predicts | Compare it with their own classifier
Education | Students | Study a small end-to-end model demo | Follow the file list from model to interface
You can skip it if you need a tool for real medical use, because the repository makes no clinical claims and gives no accuracy figures.
Where to use it:
Use case | Who | What they get back
Try the classifier | Anyone curious | A stage prediction from the demo in the browser
Study the packaging | Developers | An app file, a model file and a package list
Run a private copy | Developers | A copy that starts with python app.py
How to set it up: The hosted page needs nothing from you. A local copy needs these two things first.
pip install -U huggingface_hub
hf download BoTahex/axon-alzheimer-detection --repo-type space --local-dir axon-alzheimer-detection
cd axon-alzheimer-detection
pip install gradio==6.19.0
pip install -r requirements.txt
python app.py
How to use it: Online, open the Space page and use the demo there. On your own computer, run the last command above inside the downloaded folder and use the demo it starts. The README does not say what input the demo expects, so check the page itself.
Tool | What it does
app.py | Starts the Gradio demo
alzheimer_cnn_model.h5 | The saved CNN model the demo uses
requirements.txt | Lists the Python packages the app needs
Example: You open the Space page in your browser and try the demo. What comes back is the demo's own prediction of a disease stage, shown in the page. Running python app.py in your copy starts the same demo from your machine.
For newcomers and experts: If you are new, open the hosted page and look at what it asks for. Treat any result as an example from a demo, not as health advice.
If you know the field, the Space is one app.py with a Keras style h5 model file for a CNN, on Gradio 6.19.0 and Python 3.13. The repository does not say how the model was trained, what data it saw or how it was checked.
Open the Space or run app.py
Gradio loads the saved CNN model
You give the demo its input
A disease stage prediction is shown
Good to know: No accuracy, data source or validation is documented, so treat the output with caution.
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 4 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| Axon Alzheimer Detection This page | 1 | gradio | apache-2.0 | |
| Open VLM LeaderboardShares gradio | 1,034 | gradio | apache-2.0 | |
| Face SwapShares gradio | 808 | gradio | cc-by-nc-sa-4.0 | |
| TTS Spaces ArenaShares gradio | 493 | gradio | zlib | |
| Depth Anything 3Shares gradio | 490 | gradio | cc-by-nc-4.0 | |
| BLIPShares gradio | 431 | gradio | bsd-3-clause |
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